Zhao Kang

Int. J. Mach. Learn. Cybern., May, 2024

Multigraph Fusion for Dynamic Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Simplified PCNet with Robustness.

[BibT_eX]

[DOI]

CoRR, 2024

CDC: A Simple Framework for Complex Data Clustering.

[BibT_eX]

[DOI]

CoRR, 2024

Provable Filter for Real-world Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Graph Structure Learning under Heterophily.

[BibT_eX]

[DOI]

Xuanting Xie

Wenyu Chen

CoRR, 2024

FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction.

[BibT_eX]

[DOI]

Xudong Zhu

Bei Hui

CoRR, 2024

Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering.

[BibT_eX]

[DOI]

Xiaowei Qian

Bingheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering.

[BibT_eX]

[DOI]

Bingheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

High-order multi-view clustering for generic data.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Global and local similarity learning in multi-kernel space for nonnegative matrix factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Self-paced principal component analysis.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Intensity-free convolutional temporal point process: Incorporating local and global event contexts.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

Contrastive graph clustering with adaptive filter.

[BibT_eX]

[DOI]

Expert Syst. Appl., June, 2023

Spacecraft anomaly detection with attention temporal convolution networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2023

Multi-View Attributed Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Label shift conditioned hybrid querying for deep active learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction.

[BibT_eX]

[DOI]

Wang-Tao Zhou

Ling Tian

CoRR, 2023

A Prototype-Based Neural Network for Image Anomaly Detection and Localization.

[BibT_eX]

[DOI]

Chao Huang

Hong Wu

CoRR, 2023

Spacecraft Anomaly Detection with Attention Temporal Convolution Network.

[BibT_eX]

[DOI]

CoRR, 2023

Document-Level Relation Extraction with Cross-sentence Reasoning Graph.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Self-Attention-Based Reconstruction for Planetary Magnetic Field.

[BibT_eX]

[DOI]

Ziqian Yan

Ling Tian

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Contrastive Kernel Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Multi-local feature relation network for few-shot learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Scalable multi-view clustering with graph filtering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Preserving bilateral view structural information for subspace clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Log-based sparse nonnegative matrix factorization for data representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Graph Fusion Network for Text Classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Two-dimensional semi-nonnegative matrix factorization for clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Multilayer graph contrastive clustering network.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.

[BibT_eX]

[DOI]

CoRR, 2022

Fine-grained Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Structure-Preserving Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Eliminating Gradient Conflict in Reference-based Line-Art Colorization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Pseudo-Supervised Deep Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Single-Image Dehazing via Compositional Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Kernel two-dimensional ridge regression for subspace clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Structured graph learning for clustering and semi-supervised classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Robust deep k-means: An effective and simple method for data clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Learning discriminative representation for image classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Nonnegative matrix factorization with local similarity learning.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-view subspace clustering via partition fusion.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Domain adaptation with feature and label adversarial networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multilayer Graph Contrastive Clustering Network.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-view Contrastive Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smoothed Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Computing for Advanced Applications, 2021

Self-supervised Consensus Representation Learning for Attributed Graph.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Graph Filter-based Multi-view Attributed Graph Clustering.

[BibT_eX]

[DOI]

Zhiping Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Paced Two-dimensional PCA.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.

[BibT_eX]

[DOI]

World Wide Web, 2020

Robust Graph Learning From Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Locality-constrained group lasso coding for microvessel image classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Auto-weighted multi-view clustering via deep matrix decomposition.

[BibT_eX]

[DOI]

Shudong Huang

Zenglin Xu

Pattern Recognit., 2020

Partition level multiview subspace clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Structure learning with similarity preserving.

[BibT_eX]

[DOI]

Neural Networks, 2020

Relation-Guided Representation Learning.

[BibT_eX]

[DOI]

Neural Networks, 2020

Multi-graph fusion for multi-view spectral clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Robust principal component analysis: A factorization-based approach with linear complexity.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Auto-weighted multi-view co-clustering with bipartite graphs.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Two birds with one stone: Transforming and generating facial images with iterative GAN.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Regularized nonnegative matrix factorization with adaptive local structure learning.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Structured Graph Learning for Clustering and Semi-supervised Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Generalized Locally-Linear Embedding: A Neural Network Implementation.

[BibT_eX]

[DOI]

Proceedings of the Neural Computing for Advanced Applications, 2020

Deep K-Means: A Simple and Effective Method for Data Clustering.

[BibT_eX]

[DOI]

Shudong Huang

Zenglin Xu

Proceedings of the Neural Computing for Advanced Applications, 2020

Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

On Deep Unsupervised Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Large-Scale Multi-View Subspace Clustering in Linear Time.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Auto-weighted multi-view clustering via kernelized graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Low-rank kernel learning for graph-based clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Clustering with similarity preserving.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Structure Learning with Similarity Preserving.

[BibT_eX]

[DOI]

CoRR, 2019

Nonnegative Matrix Factorization with Local Similarity Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Multiple Partitions Aligned Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Latent Multi-view Semi-Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Similarity Learning via Kernel Preserving Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Integrate and Conquer: Double-Sided Two-Dimensional <i>k</i>-Means Via Integrating of Projection and Manifold Construction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations.

[BibT_eX]

[DOI]

Symmetry, 2018

Self-weighted multi-view clustering with soft capped norm.

[BibT_eX]

[DOI]

Shudong Huang

Zenglin Xu

Knowl. Based Syst., 2018

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unified Spectral Clustering With Optimal Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

Image Projection Ridge Regression for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Integrating feature and graph learning with low-rank representation.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Kernel-driven similarity learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.

[BibT_eX]

[DOI]

CoRR, 2017

Clustering with Adaptive Manifold Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Exploiting Nonlinear Relationships for Top-N Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Subspace Clustering via Variance Regularized Ridge Regression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Twin Learning for Similarity and Clustering: A Unified Kernel Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Feature Selection Embedded Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

A Fast Factorization-based Approach to Robust PCA.

[BibT_eX]

[DOI]

Qiang Chen

CoRR, 2016

Top-N Recommendation with Novel Rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Fast Factorization-Based Approach to Robust PCA.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

RAP: Scalable RPCA for Low-rank Matrix Recovery.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommendation on Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommender System via Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Robust Subspace Clustering via Smoothed Rank Approximation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

LogDet Rank Minimization with Application to Subspace Clustering.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2015

Subspace Clustering Using Log-determinant Rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Robust PCA Via Nonconvex Rank Approximation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust Subspace Clustering via Tighter Rank Approximation.

[BibT_eX]

[DOI]